中文摘要：

紫外(紫外) 吸收光谱学被用来检测水化学药品氧需求(货到付款) 的集中。货到付款答案的紫外吸收系列是分析品质上和份量上。部分最少的平方(请) 算法被用来为货到付款答案建模，当模特儿的结果被比较。环境温度和混浊的影响被分析。这些结果证明预言的价值上的温度的影响能被忽略。然而，混浊的变化能影响紫外系列，和 COD 察觉错误的察觉结果能被建立单个元素的回归模型有效地补偿。

英文摘要：

Ultraviolet（UV） absorption spectroscopy is used to detect the concentration of water chemical oxygen demand（COD）. The UV absorption spectra of COD solutions are analyzed qualitatively and quantitatively. The partial least square（PLS） algorithm is used to model COD solution and the modeling results are compared. The influence of environmental temperature and turbidity is analyzed. These results show that the influence of temperature on the predicted value can be ignored. However, the change of turbidity can affect the detection results of UV spectra, and the COD detection error can be effectively compensated by establishing the single-element regression model.